Tag Archives: Fast Neutron Source
Artificial Intelligence Boosts Effort to Design the Next Generation of Reactors
A team of faculty and graduate students applied a multi-objective genetic algorithm to the design of the Fast Neutron Source for spectrum matching and flux maximization.
Sobes Receives NRC Grant for Faculty Excellence
The Department of Nuclear Engineering received a grant of $450,000 from the Nuclear Regulatory Commission for faculty development.
Hines Shares Buzz About Fast Neutron Source
Department Head Wes Hines recently spoke on a webinar hosted by ClearPath and Clear Air Task Force (CATF), which featured […]
Genetic Algorithms: Where Evolutionary Biology Meets Nuclear Engineering
NE Department Head Wes Hines leads a team researching how artificial intelligence can be used to aid in the design of a complex nuclear system.